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[社会调查] SPSS软件中英文对照词典

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发表于 2009-1-6 22:05 | 显示全部楼层 |阅读模式
Absolute deviation, 绝对离差% N8 e! J% C) I+ B, f
Absolute number, 绝对数
# M: L4 l5 _. K' e/ [Absolute residuals, 绝对残差
9 U  e/ i! M0 k* k, d4 DAcceleration array, 加速度立体阵
; D0 A' I8 y% Y+ ]4 zAcceleration in an arbitrary direction, 任意方向上的加速度
4 c$ M) a+ ~! H4 p/ v9 Z% MAcceleration normal, 法向加速度, C8 x" ~) Q  G% {( [4 Z0 C6 R& p
Acceleration space dimension, 加速度空间的维数
- b8 Y" F: h& {" p' f+ mAcceleration tangential, 切向加速度: ~. b* {7 r: Q8 b3 D/ j
Acceleration vector, 加速度向量9 G/ @8 j% V! \8 W3 k5 B
Acceptable hypothesis, 可接受假设# t0 i/ @+ P8 ?* a" B6 O0 f, H, P6 }
Accumulation, 累积
) ?% D4 w/ w; a" vAccuracy, 准确度9 Z  w  ?+ L% C2 _3 s
Actual frequency, 实际频数
0 g3 f1 j* S" h3 f# `3 JAdaptive estimator, 自适应估计量
# A, N$ A3 B" R) m, B1 c0 IAddition, 相加) |: i- q4 b& |) E2 W+ O
Addition theorem, 加法定理  V% \1 b6 U# _. ]- f
Additivity, 可加性7 }# g9 N( p* {- K
Adjusted rate, 调整率0 @: q& a: a  g0 m
Adjusted value, 校正值' N: u8 [; b) g2 z; W& Z- y' r
Admissible error, 容许误差
& W: k8 t9 {4 Z0 h# IAggregation, 聚集性5 F0 `- x2 M$ i) Z3 }
Alternative hypothesis, 备择假设. A# n: I8 u9 F$ ~
Among groups, 组间
9 i5 Y$ B* F9 ]* @% yAmounts, 总量
, R2 ?" m( d4 G8 H5 t5 D, }  CAnalysis of correlation, 相关分析
& _( @7 @6 D  E2 ?% iAnalysis of covariance, 协方差分析  ~/ v% u( K' h1 S* R2 s
Analysis of regression, 回归分析4 l; ~+ I5 `( t2 R
Analysis of time series, 时间序列分析. s( o% p0 O7 X& G; p, {; z/ G* {
Analysis of variance, 方差分析1 p  r0 _$ s+ L- \
Angular transformation, 角转换
8 Y  m6 i. r' ]: i- U4 }  PANOVA (analysis of variance), 方差分析
: G# [7 a' |6 eANOVA Models, 方差分析模型6 z" W/ U; `# n8 w
Arcing, 弧/弧旋
- O( J& k% c3 a- i; KArcsine transformation, 反正弦变换
6 B  A+ ]5 F7 p! _! ZArea under the curve, 曲线面积
! ?: P; p& x7 u* J% ~AREG , 评估从一个时间点到下一个时间点回归相关时的误差
3 _& Q' o! S! `ARIMA, 季节和非季节性单变量模型的极大似然估计
0 W" D; e! _# c* l3 TArithmetic grid paper, 算术格纸
4 D7 f0 V+ i1 b! `& \Arithmetic mean, 算术平均数# z! P7 V! R* X$ a2 y
Arrhenius relation, 艾恩尼斯关系4 V* w. V) X' }: W
Assessing fit, 拟合的评估
& L. w" V9 i! a( P9 ^; T5 n( VAssociative laws, 结合律- q- {2 P8 S& f1 f4 s
Asymmetric distribution, 非对称分布
4 r- ]$ n6 `8 A: X) U0 hAsymptotic bias, 渐近偏倚$ P! [3 [( j+ ]$ k; G" s+ E- n6 e5 s
Asymptotic efficiency, 渐近效率* L7 h5 G2 Y1 r8 m
Asymptotic variance, 渐近方差6 J7 y. E, g+ f
Attributable risk, 归因危险度
$ _" X+ p, U8 IAttribute data, 属性资料
' i2 u4 M1 u9 I7 {; gAttribution, 属性
& n3 _, p# y/ h4 x' H8 Q0 c" XAutocorrelation, 自相关3 j4 O$ e: [* H+ {5 i" G
Autocorrelation of residuals, 残差的自相关
2 N0 m( j8 W& K9 ^% M/ NAverage, 平均数0 n0 O- @$ |3 s* r5 {( {
Average confidence interval length, 平均置信区间长度
* v" G" k8 @' w8 a+ T. y5 nAverage growth rate, 平均增长率
6 O! f: [4 H7 b+ W  G! i. fBar chart, 条形图, p; A& Z6 w3 P0 i# w& n7 C
Bar graph, 条形图
( o& N5 M8 `) D  z) ~1 n/ ^Base period, 基期$ u( g7 o1 g% O- U+ s/ T
Bayes' theorem , Bayes定理+ B& P; N; ?, b- P6 [+ J
Bell-shaped curve, 钟形曲线8 u5 v8 A5 N' n( d4 C+ {- @
Bernoulli distribution, 伯努力分布  m9 D# j9 t, Z( m9 V
Best-trim estimator, 最好切尾估计量7 Z3 p+ z: r2 ?) n9 N0 z) k* T2 H
Bias, 偏性! w3 s# A6 x- q7 c; \/ G
Binary logistic regression, 二元逻辑斯蒂回归$ D5 S% [1 P% x! ~2 P" ^) y$ \
Binomial distribution, 二项分布
) T' s6 f3 W3 M3 w7 rBisquare, 双平方
9 u5 a7 k% k0 k% E' A$ d" kBivariate Correlate, 二变量相关
  s1 C# ]3 D# I% `5 M# CBivariate normal distribution, 双变量正态分布
* X' s' G% T& [2 p: T- M+ }6 l$ hBivariate normal population, 双变量正态总体
& R; \% a0 l8 K* H2 zBiweight interval, 双权区间
# m6 w+ A* v" t# k" Q- p2 K$ xBiweight M-estimator, 双权M估计量
  ]$ w6 Y/ e% D, OBlock, 区组/配伍组( p6 }5 ]1 _3 N9 A. g6 r/ D2 Y/ k
BMDP(Biomedical computer programs), BMDP统计软件包9 H* R7 q% j" w$ S! P
Boxplots, 箱线图/箱尾图
; X$ x1 }8 B! Y! mBreakdown bound, 崩溃界/崩溃点
/ I, I; T% r( C2 j8 G/ hCanonical correlation, 典型相关3 V2 b$ R3 T( F) N5 d" O, R
Caption, 纵标目
, i( a5 z& L; J0 ^0 |7 u1 Q( t* tCase-control study, 病例对照研究( y6 {3 t9 ^9 K- {5 }
Categorical variable, 分类变量% r: O6 l: O. }, {3 f; k& d
Catenary, 悬链线
9 V0 I* e4 @' W- qCauchy distribution, 柯西分布
) w! Z+ F# p  K1 G; G. `Cause-and-effect relationship, 因果关系
# S2 Z. h" M( w9 iCell, 单元" Y# k" M( G4 O* F
Censoring, 终检  ?# o3 t( q9 y1 Y. G! m0 t
Center of symmetry, 对称中心" [( F3 P7 @0 j* o  s# v( i( d
Centering and scaling, 中心化和定标. G6 E& Y3 i  l+ L0 P$ W
Central tendency, 集中趋势# n' ~4 L( A& S, r) r9 O
Central value, 中心值
' l5 B- z* t; H* s0 BCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
) |9 m- i, l, p1 I0 S) o* yChance, 机遇. O. k: {: e% u9 I
Chance error, 随机误差$ V! p% {9 t5 A( L- g
Chance variable, 随机变量
$ ?5 ]  Z" z5 `8 L% k! E. Q! CCharacteristic equation, 特征方程6 q$ o+ w' Y+ }: w
Characteristic root, 特征根
- d2 z" S4 M' N# ]+ x; i! Z9 YCharacteristic vector, 特征向量
* k6 B$ T) f$ x5 f  ~Chebshev criterion of fit, 拟合的切比雪夫准则
0 O5 P$ {% G0 n0 |- S$ J) tChernoff faces, 切尔诺夫脸谱图
9 [9 d* `$ b' ~% F  z8 R: d2 kChi-square test, 卡方检验/χ2检验, a; e7 {3 g; P6 f; i' Q: q
Choleskey decomposition, 乔洛斯基分解7 R! E! `( c! S/ ]  V5 |
Circle chart, 圆图
6 Q* S9 x: I8 R. m; LClass interval, 组距
2 c/ Z1 R- @0 \' }3 A% ?2 W* hClass mid-value, 组中值4 L# Z( m, a/ S6 b2 k! ~% s
Class upper limit, 组上限
' Q6 `8 D, l) Q7 y2 LClassified variable, 分类变量$ d2 G7 z; I! l' a: V
Cluster analysis, 聚类分析0 r6 P! T. J5 D3 V
Cluster sampling, 整群抽样
& J% n6 c1 H8 x2 C! lCode, 代码
: ~  f) m* Z; V8 sCoded data, 编码数据
$ g# i+ Q& M' c( bCoding, 编码
" q3 R1 ]/ I2 z  _Coefficient of contingency, 列联系数
, y3 ^6 B5 o8 B% h8 ^' xCoefficient of determination, 决定系数7 I/ K1 g8 l, Y; d9 k# E
Coefficient of multiple correlation, 多重相关系数7 T7 S1 u3 z- `3 i3 S
Coefficient of partial correlation, 偏相关系数% J$ {% f1 E. H% E) `- R! i
Coefficient of production-moment correlation, 积差相关系数
, J  h7 S4 q' F# f6 l% m9 H) \+ Y8 l# N- GCoefficient of rank correlation, 等级相关系数
& ~/ P6 b0 k9 tCoefficient of regression, 回归系数
( R( ]( x" n& o+ h% A4 f8 j% w5 r. ]Coefficient of skewness, 偏度系数: I+ U! ]4 `, e# W) w2 l
Coefficient of variation, 变异系数
% D4 N! {7 f9 PCohort study, 队列研究, ?/ B+ s6 [0 f& M9 ~
Column, 列
, i: d+ n( U; B' q+ L/ IColumn effect, 列效应5 `8 r- {- c- Z$ B0 |
Column factor, 列因素4 z/ K9 v5 C7 j; b  k) b
Combination pool, 合并
+ k# l$ b) Q6 VCombinative table, 组合表2 x# N8 t/ F* p5 h# t! A7 v( w
Common factor, 共性因子5 c( E$ n4 w  v! C) ^
Common regression coefficient, 公共回归系数
0 [/ D! y6 g/ a) t# ^Common value, 共同值
' x, O: I$ F0 o5 J4 Z0 oCommon variance, 公共方差$ Y( [+ n6 O8 k( l% _/ C; K
Common variation, 公共变异
- A5 K, X# x( x" e( ^Communality variance, 共性方差
5 s" q- Q  T* _% yComparability, 可比性" V( V5 ]* ^, O0 D
Comparison of bathes, 批比较
+ ?2 o$ R1 ^- Y' I' L0 [Comparison value, 比较值
2 _4 A7 o, a& q" ?# m, fCompartment model, 分部模型  m0 Y2 @8 z( |& b: s5 `$ p
Compassion, 伸缩6 J# ]! v: t, v  Y  v
Complement of an event, 补事件
$ h, N: q% ]: `; R% o2 vComplete association, 完全正相关
8 N! |: V0 ]( K3 f! q9 IComplete dissociation, 完全不相关, }  b- {& ^6 ?
Complete statistics, 完备统计量$ b8 ?, i# g( D0 ^  A
Completely randomized design, 完全随机化设计
3 q) G6 b, J" q% Z: e7 dComposite event, 联合事件
0 C' S! ~1 |# W& ?Composite events, 复合事件% U- X. _4 d2 B, m* x. H
Concavity, 凹性' @" u& p: U; _; j7 G* a
Conditional expectation, 条件期望
2 s) @% ?( |1 Y0 t' q: f* NConditional likelihood, 条件似然
0 m5 g7 F. ?6 ]Conditional probability, 条件概率
+ J6 V1 ~, q9 x1 F6 K% o  n, AConditionally linear, 依条件线性- A& [' N0 D" e# c2 m
Confidence interval, 置信区间5 @5 J. B% k* ^* I: c# B9 ]$ F
Confidence limit, 置信限
* ?# G7 L1 q6 D8 O5 [% tConfidence lower limit, 置信下限
9 {7 _7 ~( Y# P( F& |* c  t9 F0 D, ?! CConfidence upper limit, 置信上限7 p  n+ b: l. G; N' C
Confirmatory Factor Analysis , 验证性因子分析
/ ], `( I9 R2 Q, W4 MConfirmatory research, 证实性实验研究( c+ n9 l) y+ j- f/ Y# p
Confounding factor, 混杂因素6 W, n' j" B/ a1 y' U6 _6 q
Conjoint, 联合分析+ Y5 z, D" n2 _
Consistency, 相合性
. b  s4 K  e) v; }" sConsistency check, 一致性检验
: M5 k; f$ {) T: ]4 w4 q, H3 aConsistent asymptotically normal estimate, 相合渐近正态估计
- u2 R7 F/ u$ G$ L) Z+ M- m7 \Consistent estimate, 相合估计/ j; y+ Q9 M$ |2 v0 Q9 |
Constrained nonlinear regression, 受约束非线性回归% T1 R+ l% G- F8 ^( @8 O+ n
Constraint, 约束
9 U6 z) z* D& ]7 G) SContaminated distribution, 污染分布$ e" Q% y* L, y$ T* j: s
Contaminated Gausssian, 污染高斯分布6 G2 N8 @" v8 d) v4 @' h$ W5 E
Contaminated normal distribution, 污染正态分布
  k- h$ I; ^0 {) d- u: SContamination, 污染
+ w! {. h/ i2 F, _( mContamination model, 污染模型' s/ }! O* y" o$ e5 m, D- S
Contingency table, 列联表
# @7 b! Z7 e3 X1 B: d/ D9 G: JContour, 边界线" w% m* `) W# J& H$ g' k3 J6 m
Contribution rate, 贡献率
7 B0 p7 ]; n# O% ~: kControl, 对照1 s% q) o2 [! U5 }9 w
Controlled experiments, 对照实验
2 a" y* T7 l( }; tConventional depth, 常规深度+ l& G, w7 V% s  Y6 ~
Convolution, 卷积
8 U9 I* Q- M( k0 SCorrected factor, 校正因子' s, ~; n7 p7 R, l! s
Corrected mean, 校正均值
- T1 d0 ~1 P# |5 O% QCorrection coefficient, 校正系数! l. t, i; \! B/ w, }7 t7 N
Correctness, 正确性/ ?1 t9 D) E) f0 e, G, C
Correlation coefficient, 相关系数
" }! ]/ p6 G0 q& U! T4 x6 |3 DCorrelation index, 相关指数; Z! A& S; v5 R' y. I( h+ |% Y$ I
Correspondence, 对应
9 M$ g, |3 |. K* G6 \5 n* @$ w- _! g8 GCounting, 计数6 E9 j. t. C) {
Counts, 计数/频数* R( [5 S9 i9 u/ U4 D/ m
Covariance, 协方差
4 i/ G7 n) z$ dCovariant, 共变
. a3 U% c' h; I: s# k7 y. F6 }Cox Regression, Cox回归' {- I% }6 D1 G8 \
Criteria for fitting, 拟合准则$ d+ d+ W9 @& a) h4 ^" Y' N+ Y
Criteria of least squares, 最小二乘准则8 C( \5 |8 P, k9 Q9 B, G2 J& t
Critical ratio, 临界比3 p0 `. i2 w1 E$ V
Critical region, 拒绝域9 \5 m5 y" @7 b7 W
Critical value, 临界值/ {9 C2 s8 \& l2 z( y
Cross-over design, 交叉设计! O6 f( a4 f1 p' h' p8 r8 L' y
Cross-section analysis, 横断面分析; S# i- i1 [! l4 w: j
Cross-section survey, 横断面调查
- @8 |" Z% H: a) @" gCrosstabs , 交叉表 : p9 P5 S2 I3 b3 H) N! g
Cross-tabulation table, 复合表
. Z1 l3 d* c: P! ?Cube root, 立方根7 Y' A4 q8 s. d3 r- P
Cumulative distribution function, 分布函数* h$ X6 t2 I/ V. p6 t) N. x
Cumulative probability, 累计概率
$ t4 Z4 ?$ {* K; i0 c) X* yCurvature, 曲率/弯曲
& a% f0 v* S$ e% B6 BCurvature, 曲率
* n  w) C' s1 g( b6 X+ ZCurve fit , 曲线拟和
  z9 @0 h: ?6 {Curve fitting, 曲线拟合0 v" ?' x# I4 C7 {
Curvilinear regression, 曲线回归
' m; D: f8 R2 I2 }$ \' ECurvilinear relation, 曲线关系4 N) B. G1 p4 l8 R, F( g
Cut-and-try method, 尝试法+ d% f. e3 H* X9 `/ }& ], O( a8 [
Cycle, 周期! L! T. i' B! W1 C9 s" z% S
Cyclist, 周期性4 C# a' Q( }' s$ s' v& j
D test, D检验" l: K; `/ @9 d9 O" x
Data acquisition, 资料收集
9 o2 o8 Z4 V- n" B6 @2 ?. _! \Data bank, 数据库; C( d) Z" `: \+ v' |0 d1 |
Data capacity, 数据容量& M! ~: C0 G! i
Data deficiencies, 数据缺乏* l" O  O! i  U$ f( u
Data handling, 数据处理2 T. Q0 D( ]7 |7 ~& z
Data manipulation, 数据处理
' s; ~6 T* L5 e; u, D# O6 x  yData processing, 数据处理- N) m% o" O) I' C
Data reduction, 数据缩减% f3 o. l/ N: y3 B
Data set, 数据集' N& _) P# J5 f7 Z' g
Data sources, 数据来源
' @% c) n! J8 |$ E. w- _1 TData transformation, 数据变换
8 @* i1 b; M2 f( v1 u; oData validity, 数据有效性
5 E8 k5 b5 D% L2 S$ `2 k1 J3 EData-in, 数据输入: N7 z3 C7 ?6 j  C3 L& K
Data-out, 数据输出: [3 ], c& j3 d6 B; d* d- u  p
Dead time, 停滞期/ Z, ]/ b9 @" _9 k) g- w4 U5 R
Degree of freedom, 自由度
+ ~. r% L) X, A2 ~! kDegree of precision, 精密度
$ }; t) G7 ~# V/ e1 zDegree of reliability, 可靠性程度
3 V6 h/ E2 [) l# ?( h1 p( FDegression, 递减
/ t- V( n4 e! i8 U6 ^  B) k4 tDensity function, 密度函数8 ^+ j* V" ^* e- }) e. _  m2 L
Density of data points, 数据点的密度
4 b" j2 a3 U2 I/ vDependent variable, 应变量/依变量/因变量
2 Q% }9 I' p: z4 a% S: H+ [6 s* ]Dependent variable, 因变量
# J2 d7 Y6 \# Y/ ~+ kDepth, 深度9 S& Y: |* S+ q- p8 x. |% R
Derivative matrix, 导数矩阵1 l" s  l, u7 [: ?' L/ h! ~
Derivative-free methods, 无导数方法
$ C  J7 k7 N  v+ Z+ f3 w% WDesign, 设计
2 E- M$ h$ ~# M% e* D% O3 v3 zDeterminacy, 确定性
# s6 }' R5 x& v7 _/ W" h0 eDeterminant, 行列式% y# K0 \! \! Y0 S4 u$ y: K0 |
Determinant, 决定因素' u  r* [0 G  ?, L" V
Deviation, 离差
/ S2 l2 P+ r$ @* S0 \Deviation from average, 离均差* X* S+ |2 }2 o! |& i/ x) R; Z
Diagnostic plot, 诊断图$ s- u# ]$ `! T9 V. D0 _) p% ]
Dichotomous variable, 二分变量
8 l5 G7 }/ w/ r1 t& n+ u4 gDifferential equation, 微分方程
4 b& u, i6 x2 M4 z$ gDirect standardization, 直接标准化法
9 y; h# U) }  ^& ^, KDiscrete variable, 离散型变量
( S* O1 A% \( T$ _! _  U9 @DISCRIMINANT, 判断   b6 ?% ^! R+ U7 k! C
Discriminant analysis, 判别分析& r; ]) X% V! r0 Z: x# Q
Discriminant coefficient, 判别系数
4 }1 h: X5 t. r: W% A. a) yDiscriminant function, 判别值6 ?1 m; n" f2 a: O4 ~
Dispersion, 散布/分散度
" \9 w, o) p* h. gDisproportional, 不成比例的6 ]8 B% o0 |+ r0 S! Y
Disproportionate sub-class numbers, 不成比例次级组含量0 n0 X; J+ d- f% F. D; y4 }0 w2 [
Distribution free, 分布无关性/免分布
# B4 r; W# [/ e/ r7 o, v* r+ EDistribution shape, 分布形状% T  b( o3 C: [8 u- L- w$ v
Distribution-free method, 任意分布法0 ~' e/ N2 E8 X& t5 Z3 A' H
Distributive laws, 分配律" G, J$ k" c+ Y' [% _" b
Disturbance, 随机扰动项
4 W3 k. x; h2 w) ]7 M& ^Dose response curve, 剂量反应曲线
) I- K* ]: }. S) R$ Z! W5 W' ?* }8 `Double blind method, 双盲法1 B8 O3 i( t3 K
Double blind trial, 双盲试验' N! j; p& b  ~1 i; U& p2 j. E
Double exponential distribution, 双指数分布
" q" R' N6 R) @8 _  L5 I$ [: `Double logarithmic, 双对数+ T+ F( I- ^1 d
Downward rank, 降秩
7 u: `  ~* R" h  k+ n! \Dual-space plot, 对偶空间图' I( O+ L& b& o  e& ^  ~
DUD, 无导数方法9 p. k: q& [: w
Duncan's new multiple range method, 新复极差法/Duncan新法: k, x: X* p2 a" l9 O
Effect, 实验效应! z* a; r4 C/ L8 O/ J+ }
Eigenvalue, 特征值+ O( e7 \' l+ C0 ]9 D" G
Eigenvector, 特征向量
  k7 e  W/ }7 A, V3 s8 Q6 OEllipse, 椭圆2 l7 x, z" F) H6 m: L! ?
Empirical distribution, 经验分布
2 Q* l7 F2 G* O8 Q8 b! [Empirical probability, 经验概率单位9 T. l% G" _( X% p; i, c" m% l
Enumeration data, 计数资料
! L6 K4 u' T, v9 b) T7 b, qEqual sun-class number, 相等次级组含量
$ R, A1 G* E# v! V$ N' t: K) U7 `Equally likely, 等可能" c, u) W0 h/ h: v: B* }
Equivariance, 同变性# n3 P" h% O' A$ ~2 j1 c
Error, 误差/错误! |6 |5 N+ D0 ~9 u! G' T
Error of estimate, 估计误差
) e1 H: |  e; d% ?  _: v! i, w3 P; Z- |Error type I, 第一类错误
, l  c$ M- z. }+ X2 p! [3 qError type II, 第二类错误
6 B6 U! x$ Y/ `5 l: h1 Z* }Estimand, 被估量0 l5 A) s5 `" X# A# H
Estimated error mean squares, 估计误差均方
* r! u0 Z) w1 K+ i( d; M5 ]* NEstimated error sum of squares, 估计误差平方和
) X( E9 o: o+ cEuclidean distance, 欧式距离/ k: h1 H7 Z+ {) [2 x; z
Event, 事件" D3 `0 ]7 K  d" y
Event, 事件2 U6 U7 R3 d1 ]; V
Exceptional data point, 异常数据点
9 I+ z3 e  a* d" X) \9 rExpectation plane, 期望平面: J" E$ p3 }" ]2 v2 u6 J7 J
Expectation surface, 期望曲面
% k  V5 V4 c4 a$ r* GExpected values, 期望值
$ a3 m6 p6 W# V, ^/ @Experiment, 实验
3 o% W0 p+ ]' }7 o8 z: WExperimental sampling, 试验抽样
: h0 x- C" c# o  H) aExperimental unit, 试验单位
8 M& ~5 X% i# ~, e7 ~Explanatory variable, 说明变量, r) t: Q2 [) K7 N2 [  y
Exploratory data analysis, 探索性数据分析9 K  r2 a  V# Y' U0 Q) C
Explore Summarize, 探索-摘要
3 J- z- \; ^2 O' `3 |% nExponential curve, 指数曲线- S) G6 U  q1 N* x3 `( q. @, I
Exponential growth, 指数式增长" ]7 u! r) ^9 I$ G
EXSMOOTH, 指数平滑方法 - t+ ]. b  ~0 M6 K+ r
Extended fit, 扩充拟合
; F. N. t; L# z+ C7 F; ]# QExtra parameter, 附加参数
- r9 I* t" J) [& `3 N; L+ k0 DExtrapolation, 外推法
0 V* H  D5 B8 J* X) aExtreme observation, 末端观测值( l* h: L' d: N5 E7 ?: |
Extremes, 极端值/极值
, K4 a7 Z. K% {1 J* XF distribution, F分布
$ O: l7 k) }% ~( H" z( x5 oF test, F检验
) E8 f3 ^9 ]* N& _Factor, 因素/因子
* h4 P4 r. o2 U$ M  v! MFactor analysis, 因子分析7 a2 ]% C: n3 v" J3 K
Factor Analysis, 因子分析/ r" u# v% R# D! E" D1 N, |+ G
Factor score, 因子得分 + {. f# R0 V0 @' C% R4 I
Factorial, 阶乘, W( @7 l) Y. F- }( O
Factorial design, 析因试验设计! s8 C& Q* S/ i. W6 {7 R: ]" U: ?
False negative, 假阴性
$ X% ?7 N3 ?3 ^6 p" jFalse negative error, 假阴性错误  f6 E$ L6 {2 A! B& O5 J. t; V
Family of distributions, 分布族
$ A; F0 I8 D5 j' o! S: l+ iFamily of estimators, 估计量族) J: A+ h3 s! Y) c" F
Fanning, 扇面& `" f6 T0 t2 _3 k% e& y& |
Fatality rate, 病死率
( [' V. a$ n( |3 ], CField investigation, 现场调查
; q$ h9 k" O3 m7 K4 M4 B2 t' u* }Field survey, 现场调查( @! E7 k: \( z3 V
Finite population, 有限总体" O* s6 d- d2 [' q
Finite-sample, 有限样本8 B, y2 b5 F$ U  o$ g4 m
First derivative, 一阶导数
  _& I* T( {# W. ^First principal component, 第一主成分) X8 V6 i* ^" M! r. V3 e
First quartile, 第一四分位数2 [. O/ l  e! H; S4 ~# x
Fisher information, 费雪信息量9 ^- ?- s+ t% j; z- ]% o+ [, e
Fitted value, 拟合值9 X( u  R2 W5 n& L$ q- Q. c/ U/ p; I# W
Fitting a curve, 曲线拟合; m1 W) _8 ~% d% ^1 w% [: I
Fixed base, 定基
- G+ U- S; Z; g" L9 `6 cFluctuation, 随机起伏3 J# E) J; j6 h" T$ j5 b  j; B
Forecast, 预测- }0 r7 V# s" _! D( |, n
Four fold table, 四格表& ]) h+ K" u6 f. v4 d, M- y
Fourth, 四分点8 e& \- b2 Y4 `, C
Fraction blow, 左侧比率  j( V5 X0 g! P& y6 T) w
Fractional error, 相对误差
) n( D$ y5 c2 l6 G! F3 K) ?Frequency, 频率
. l, I3 f$ t# _' B( RFrequency polygon, 频数多边图
) M& [. p1 S5 O$ y! h  G: K/ PFrontier point, 界限点. `+ l4 Q, b( G2 D0 Y) Z
Function relationship, 泛函关系( L1 `! N; {  [4 J9 p" r; t7 s
Gamma distribution, 伽玛分布
( A& {( ?9 H% I1 S4 z' GGauss increment, 高斯增量
4 i- v. \  ?- P  T: ^6 lGaussian distribution, 高斯分布/正态分布# {( C+ a, \3 @, o( t; A
Gauss-Newton increment, 高斯-牛顿增量
% h% E, [! z; k" L' G* BGeneral census, 全面普查4 i& E+ @  n5 E7 P
GENLOG (Generalized liner models), 广义线性模型
6 j7 p+ m1 z+ w: r. n+ v8 w5 GGeometric mean, 几何平均数
. A; \" @# H; }2 W! UGini's mean difference, 基尼均差
0 ]- c1 G/ x" x# V: t# Z. b6 IGLM (General liner models), 一般线性模型 ' e7 r+ J" S- r9 P/ x
Goodness of fit, 拟和优度/配合度
2 V/ R' s' {& B% C% U, q' oGradient of determinant, 行列式的梯度
, ?* z5 L; o) `+ c) W- C( oGraeco-Latin square, 希腊拉丁方
& Z8 N6 n# u5 ]8 yGrand mean, 总均值8 R; a( y; a; U: i0 u
Gross errors, 重大错误# O2 ?% q4 P* I' E, j4 d, q
Gross-error sensitivity, 大错敏感度8 G8 G; `! F5 J( ]2 P
Group averages, 分组平均
( O: N" W) _2 Q  CGrouped data, 分组资料1 t! q9 f* g4 k2 c: J5 M
Guessed mean, 假定平均数) F. ?* P! B  O3 Y: R
Half-life, 半衰期
9 b' v$ ^) }9 a2 q7 ?! uHampel M-estimators, 汉佩尔M估计量2 J/ X+ ]9 e: z. _! _
Happenstance, 偶然事件
3 {/ N- @: e+ f8 C. I$ t$ [8 lHarmonic mean, 调和均数8 G5 B. \* p5 X- `
Hazard function, 风险均数! A2 Y3 A  k& K1 _- C; G+ F" z
Hazard rate, 风险率' p* s' C4 Z7 R4 W1 Z" K
Heading, 标目 ; {  i: m+ h5 ~1 x
Heavy-tailed distribution, 重尾分布
: r7 Q9 P% v! ^) `# r( ZHessian array, 海森立体阵
8 j# b) M, W0 E2 c  i& PHeterogeneity, 不同质7 k$ b* c1 J+ d" b
Heterogeneity of variance, 方差不齐 5 r8 D; c5 u& U* m3 @- T8 H
Hierarchical classification, 组内分组! c8 {7 |% E6 Q7 }# N5 f" u' C9 j
Hierarchical clustering method, 系统聚类法/ `$ b- _/ K  [  N/ g
High-leverage point, 高杠杆率点: m& H1 j  S' x  J: F& ~+ p' Y
HILOGLINEAR, 多维列联表的层次对数线性模型
& y  {0 W; b4 @- M: u  M+ fHinge, 折叶点( `* g3 o4 |" c  f0 f4 `
Histogram, 直方图" [. F- O& _( z3 t* p7 x0 p
Historical cohort study, 历史性队列研究 3 U- P" ~- l) c3 ^
Holes, 空洞
$ v5 N6 R; Q0 L% X" N. e" aHOMALS, 多重响应分析
0 h8 x4 s& o) f5 WHomogeneity of variance, 方差齐性
, N* k' e8 |) C  f/ p$ CHomogeneity test, 齐性检验
4 v/ ]1 R; ~; F5 U# |2 Y1 QHuber M-estimators, 休伯M估计量& R- V9 M- @/ N
Hyperbola, 双曲线- ~6 u; ]: z" X& K
Hypothesis testing, 假设检验! i) l7 E, N. [: w5 l3 t* ]
Hypothetical universe, 假设总体
/ _2 w4 u: Q! A6 q) Y# M0 eImpossible event, 不可能事件8 F7 k0 p' @' }( a! o, a
Independence, 独立性
& u  k  ~$ w0 V5 G. ~* QIndependent variable, 自变量
* |/ O5 w' R+ Q3 N: i5 LIndex, 指标/指数. y9 ^3 U! V- P/ T0 u8 \9 {
Indirect standardization, 间接标准化法
1 p9 i' c5 h' F) S& A9 qIndividual, 个体
4 }) R9 S1 N# X- J; K. d4 TInference band, 推断带; U0 C8 S: [! }
Infinite population, 无限总体
/ X# _3 ?; }# g- KInfinitely great, 无穷大$ @% @. x6 W5 N1 B% g
Infinitely small, 无穷小; m$ a( }. o/ T1 L
Influence curve, 影响曲线' D4 Y+ a1 r3 n! [' h7 E
Information capacity, 信息容量
0 W) [* A0 z! G* U  W9 Y7 kInitial condition, 初始条件
1 b' d9 }+ q6 v# GInitial estimate, 初始估计值% G) Z( u: b' ?
Initial level, 最初水平
' [/ S5 B4 K: b: F# xInteraction, 交互作用$ `) t8 @$ u* z" L9 g
Interaction terms, 交互作用项: k- `( e- u) {
Intercept, 截距
8 f: H4 O$ a. FInterpolation, 内插法
1 b8 s, @2 r: ?/ z* I. yInterquartile range, 四分位距) O4 z4 P! F. m$ M
Interval estimation, 区间估计" E! }- S0 k) B- p# t+ w
Intervals of equal probability, 等概率区间6 p  U9 D- D0 A* l- t0 z4 _7 ^
Intrinsic curvature, 固有曲率
" H9 ~& {+ p5 h% t0 `7 S( GInvariance, 不变性
- _; y6 M; P4 ]3 l: L% E" V9 T. S. N* pInverse matrix, 逆矩阵
4 x; X' E) O' ~; ZInverse probability, 逆概率8 q8 o1 c: r2 c9 t( r
Inverse sine transformation, 反正弦变换
- b% `/ q. A$ U9 e7 J9 AIteration, 迭代 6 ]& s5 }( V$ X' Z, O9 r) d
Jacobian determinant, 雅可比行列式4 J2 i# s! |9 h; Q
Joint distribution function, 分布函数
% k  Q& l* P  K. [Joint probability, 联合概率2 ?& f9 V6 }7 @% X# P, k
Joint probability distribution, 联合概率分布4 K. A: k6 o2 U- o8 d+ Y) Q
K means method, 逐步聚类法2 ]3 }4 u9 ^6 }  ]
Kaplan-Meier, 评估事件的时间长度
( L6 u7 N/ c/ B0 ^& CKaplan-Merier chart, Kaplan-Merier图7 t% }  o- R0 i; M* O2 S- S
Kendall's rank correlation, Kendall等级相关
) f$ ^+ J2 w0 D) hKinetic, 动力学% ~) C6 ^- O  u
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
1 p: z: M& ^+ n8 |6 yKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验; I/ d( S) x4 b' X1 D
Kurtosis, 峰度. I7 b7 a8 h% @5 ?, \+ u
Lack of fit, 失拟# I- u& C/ O1 z" z
Ladder of powers, 幂阶梯
- G+ h( p* f9 ~Lag, 滞后
% \/ m5 N. T4 R2 N8 z7 HLarge sample, 大样本
4 d% z- ]# H8 G% Q% B0 p- q- WLarge sample test, 大样本检验
6 d% L" }8 j+ ^) U; hLatin square, 拉丁方
9 y" A* t& v# V% {7 ~4 @7 X0 oLatin square design, 拉丁方设计
; V- Q+ d6 Z7 T1 C% dLeakage, 泄漏* |* H  h4 `8 }6 j% A
Least favorable configuration, 最不利构形8 t2 M$ ^- [# \8 L8 B
Least favorable distribution, 最不利分布1 E9 ?/ S" }( d
Least significant difference, 最小显著差法
7 t) A/ ~1 d% _# Z. j# n' DLeast square method, 最小二乘法
6 X3 o& c' f+ P4 x2 jLeast-absolute-residuals estimates, 最小绝对残差估计  o9 P5 }3 S+ M
Least-absolute-residuals fit, 最小绝对残差拟合
4 H; f" W9 X# A6 gLeast-absolute-residuals line, 最小绝对残差线  t! t9 o5 J* k7 ?
Legend, 图例
8 Y9 B# {; F9 M$ P. eL-estimator, L估计量0 K( J9 U2 c0 Z* w
L-estimator of location, 位置L估计量5 N! M/ q) P6 M2 J$ S( Q
L-estimator of scale, 尺度L估计量
- c* M* y1 a& yLevel, 水平
8 `& e0 K7 ^/ v3 e; s7 g% rLife expectance, 预期期望寿命
4 _' L% ^; S9 P; J# R6 ?Life table, 寿命表" V5 e; z0 l' C
Life table method, 生命表法. {& ]% n8 m6 ^/ U+ l8 k
Light-tailed distribution, 轻尾分布( J" b& n. n$ `5 w9 r- s
Likelihood function, 似然函数
; I! D9 I9 R3 I" fLikelihood ratio, 似然比
0 L8 X8 d. ^+ Y# ^line graph, 线图3 M& A% e; J. W0 ~
Linear correlation, 直线相关" c" n4 ?% i& q6 H- ~3 P
Linear equation, 线性方程9 L2 s: I1 C; l4 ?7 Z
Linear programming, 线性规划* P8 s0 b. F! f( n4 l  o. P1 Y
Linear regression, 直线回归* Q7 O. g( m, K+ C
Linear Regression, 线性回归
8 C. V1 @* l% B& \! PLinear trend, 线性趋势9 O0 Q: s# z, ^5 ?' ]  w
Loading, 载荷 7 W  J# E" C- W6 k1 R" A$ L* s
Location and scale equivariance, 位置尺度同变性
5 \+ T! ~5 R+ ?' `8 R1 lLocation equivariance, 位置同变性4 b( `3 q/ U4 A) s' h% B
Location invariance, 位置不变性
" `- C* M3 d, `' P% d+ @Location scale family, 位置尺度族  w+ r  k6 r  |5 ?
Log rank test, 时序检验
( N6 m' I( z3 p- t& P- Y; t) LLogarithmic curve, 对数曲线* }; E6 `4 K* s: [
Logarithmic normal distribution, 对数正态分布; S- E4 y* B8 d# g5 a& B6 T6 u
Logarithmic scale, 对数尺度( c; E, t$ R. z; N% s% M+ ~; u
Logarithmic transformation, 对数变换5 ^0 h) q/ U2 |# L; `5 B
Logic check, 逻辑检查
. I3 x3 K; f. J3 q0 R# \" E4 k! l+ @Logistic distribution, 逻辑斯特分布0 _7 b8 u$ Z+ ^  w* S
Logit transformation, Logit转换
$ G# K" Y" |4 ALOGLINEAR, 多维列联表通用模型
5 T: m& q( L: M) I7 @Lognormal distribution, 对数正态分布
$ y0 ~4 H- Z2 q. t/ j# FLost function, 损失函数
- o6 D( s9 Q9 a  `$ C5 O, w, b, _% m& BLow correlation, 低度相关- Y; R& {+ ^* l% u/ j1 |2 I% `
Lower limit, 下限
+ E3 b7 R( j& c; i& k. qLowest-attained variance, 最小可达方差, T3 I& G* g; q8 x/ X, p4 v8 I
LSD, 最小显著差法的简称$ X$ Q, h. u0 [9 Q: Q# l6 h
Lurking variable, 潜在变量
4 H3 c' _9 p2 ?/ UMain effect, 主效应$ d4 f9 b: r1 i. ~0 C; h# B  e$ A
Major heading, 主辞标目) Z' ]) h: ^- R; W
Marginal density function, 边缘密度函数
% i; j* p% e9 E/ K5 \Marginal probability, 边缘概率
7 I' d& N5 k0 r: _% j4 z! mMarginal probability distribution, 边缘概率分布
) q( ~# s: P" \/ c# rMatched data, 配对资料
# A9 [& Z; {' D7 M9 r' \Matched distribution, 匹配过分布
) v0 k: t8 e- T% ^0 o7 _4 e: yMatching of distribution, 分布的匹配
5 K  I- N* B; n7 F3 }: aMatching of transformation, 变换的匹配/ x" J$ d1 n+ Q) D9 F+ n
Mathematical expectation, 数学期望7 L3 m3 H! m0 ^% ?! j
Mathematical model, 数学模型# ~; v) @, N! Y$ u4 I
Maximum L-estimator, 极大极小L 估计量8 f' b, h1 V* Z  E& @, N! c3 Q
Maximum likelihood method, 最大似然法
, ^6 o9 Y& P4 q" ^Mean, 均数
0 s$ f. `( `: w* j7 X' VMean squares between groups, 组间均方; G( v4 x7 }7 M4 C
Mean squares within group, 组内均方
0 `$ F8 n1 Q& t7 @7 dMeans (Compare means), 均值-均值比较! ?8 c$ n- _, s
Median, 中位数1 G1 o) V8 Z3 k/ }; v, _0 l
Median effective dose, 半数效量
5 y3 ~8 ]2 s. f, N8 I! p9 {- [3 L. {Median lethal dose, 半数致死量9 x- i; a, i  C- ]
Median polish, 中位数平滑7 @' g. P1 a; b2 ~8 o0 C2 {
Median test, 中位数检验4 v; m7 m* @! x. H
Minimal sufficient statistic, 最小充分统计量
" O9 s7 K2 E8 y% \Minimum distance estimation, 最小距离估计
5 ?1 _+ J3 D+ CMinimum effective dose, 最小有效量
' _$ ]( F, ?; h+ H4 V* u0 }7 `Minimum lethal dose, 最小致死量
2 b: S- i% L! z; vMinimum variance estimator, 最小方差估计量( ~& ~0 F3 J+ X- {" H
MINITAB, 统计软件包
+ V9 c  t) A/ J" UMinor heading, 宾词标目
: \+ D# m% G2 w9 ?3 c6 GMissing data, 缺失值) o# E9 i& g! e( i8 |4 @$ ]
Model specification, 模型的确定! B7 A! {6 l2 K; f- Z
Modeling Statistics , 模型统计! o, a2 h- D* |$ w
Models for outliers, 离群值模型- |) o0 a, w/ h  R. R, b
Modifying the model, 模型的修正
3 P; J1 f2 \7 RModulus of continuity, 连续性模
/ H) h1 C3 y/ d9 r7 D; QMorbidity, 发病率
7 Y* |9 i9 k8 k2 ^( [% FMost favorable configuration, 最有利构形+ Z3 V9 S7 A; Z1 k3 e/ V4 F1 }; R  y1 B
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
3 R8 a$ J1 Y9 n0 [% [# z1 W+ h  sMultinomial Logistic Regression , 多项逻辑斯蒂回归
& m" D3 u! h/ S# `% x/ uMultiple comparison, 多重比较
, M2 `1 w2 H; `2 D, Y, eMultiple correlation , 复相关
. D  S6 D1 m" J% h2 D4 x; h% O# _Multiple covariance, 多元协方差
$ v3 M! r! F, v6 TMultiple linear regression, 多元线性回归  r0 Y# o3 u& d5 M+ D- B) i3 h3 g7 R
Multiple response , 多重选项5 U0 Y/ h( T& e
Multiple solutions, 多解* U, u9 N' D- A# J- T' H* v
Multiplication theorem, 乘法定理
7 q& v, b5 @  ?Multiresponse, 多元响应
( z7 I% a" C" F$ T2 dMulti-stage sampling, 多阶段抽样
, z9 j* R/ N# C% q" x9 rMultivariate T distribution, 多元T分布# h0 Y" n7 s+ K
Mutual exclusive, 互不相容% w4 u* p. g; E% b% }/ E7 e6 c
Mutual independence, 互相独立
4 s; w# W5 ]# `, W/ t& ?1 ?, YNatural boundary, 自然边界0 z0 }8 N" ]  G$ M# o
Natural dead, 自然死亡* f1 @% |' p7 i3 x9 p
Natural zero, 自然零8 T& ~% D# s  g- @
Negative correlation, 负相关
% V& A  h' T6 r* S: S$ kNegative linear correlation, 负线性相关
# k# i4 t% C3 P0 ANegatively skewed, 负偏3 K6 M* c7 U& P" U
Newman-Keuls method, q检验
3 O' y. {/ v' xNK method, q检验
$ H* m! ^4 ]: S- g; m9 xNo statistical significance, 无统计意义
9 u+ e1 r  g  \9 S. V  h6 z! VNominal variable, 名义变量7 d9 D. ~6 H% v
Nonconstancy of variability, 变异的非定常性; Q' e* @1 ^. K
Nonlinear regression, 非线性相关
0 P' S  k/ ~' qNonparametric statistics, 非参数统计% y! w; _+ p9 i
Nonparametric test, 非参数检验
( y5 j1 A4 i6 i" M$ dNonparametric tests, 非参数检验
# }5 e$ c# X7 o! w" `Normal deviate, 正态离差
% D" f5 K9 |; u2 NNormal distribution, 正态分布# V6 U, B5 ~1 X4 F7 F
Normal equation, 正规方程组" g: L* }  ^3 T% Q
Normal ranges, 正常范围9 Q* b7 U& y$ e& e3 H/ u4 I% o
Normal value, 正常值! N; a( g  g9 q  o& E! @
Nuisance parameter, 多余参数/讨厌参数
1 o7 _5 U' B3 O- M6 kNull hypothesis, 无效假设 0 k7 q+ M  c0 h
Numerical variable, 数值变量4 I  o& W" J0 U; }
Objective function, 目标函数
! {" ^2 w% f( `6 E" ~6 `  `Observation unit, 观察单位  b: m. k: {0 I* p( U! N: L' q
Observed value, 观察值
9 j3 a* ]. P! E# ZOne sided test, 单侧检验7 P( g% I* L& r5 \8 D
One-way analysis of variance, 单因素方差分析
2 f- ]% o& t6 g& ]$ n/ `3 t. JOneway ANOVA , 单因素方差分析2 x3 S( v3 @1 i2 \' M5 Z
Open sequential trial, 开放型序贯设计
9 P8 j. I& Y4 jOptrim, 优切尾: b' t' [2 U1 J! G6 x7 G
Optrim efficiency, 优切尾效率2 S& O3 I' l( e  P1 ?
Order statistics, 顺序统计量+ K: w* }; B, {
Ordered categories, 有序分类0 L! |! d4 a1 C% `% l9 U% p
Ordinal logistic regression , 序数逻辑斯蒂回归+ T1 a1 R# P5 W& a, r5 h
Ordinal variable, 有序变量
3 \9 k" v. `- H0 T2 V- MOrthogonal basis, 正交基, r2 w0 x+ R/ }0 g
Orthogonal design, 正交试验设计. c! N" q1 V; K5 p9 U
Orthogonality conditions, 正交条件8 F: [1 Z, z7 p. k4 y3 z- {
ORTHOPLAN, 正交设计 " J% S* s3 Q, _$ J0 a
Outlier cutoffs, 离群值截断点8 v# @$ S9 I2 B, r, T8 s9 N
Outliers, 极端值# ^' u" Q6 I) X5 C, f
OVERALS , 多组变量的非线性正规相关 4 h. L/ P0 n( [
Overshoot, 迭代过度
, a4 i& U3 @/ Y# u9 K( F& B: xPaired design, 配对设计
6 `$ [& q: s( J) \# M/ @Paired sample, 配对样本
: T' [! m, m4 |+ s7 N4 ]: ePairwise slopes, 成对斜率4 a/ X) w# u) t7 M" S: u! A
Parabola, 抛物线) X1 p+ m: U/ F0 `* T% k
Parallel tests, 平行试验
+ K- s; P" h  D# R2 s% F! H* _Parameter, 参数
# M& j! j( W! z# m& f9 SParametric statistics, 参数统计
$ E) Q' i% C; K% vParametric test, 参数检验2 ^7 @' C1 K# V- d& M4 J6 u/ n
Partial correlation, 偏相关
: [9 I* W  X1 H3 P- DPartial regression, 偏回归( A7 B6 N2 d+ p$ a/ K9 a
Partial sorting, 偏排序
5 K7 N) j, E9 V0 D  s/ b( sPartials residuals, 偏残差
5 s& M; _3 O4 @Pattern, 模式
1 s: a& e% s( P9 @9 R, ePearson curves, 皮尔逊曲线
) \7 L* d" P. Y' D, F" VPeeling, 退层: W: ?8 S' w5 K; y
Percent bar graph, 百分条形图
. K5 W/ p8 O# F) APercentage, 百分比
% S" B3 M6 U; c/ ~4 Z* DPercentile, 百分位数- `! y- ]  W: p. T) s
Percentile curves, 百分位曲线
' {8 `  D' |' X4 X# DPeriodicity, 周期性! i+ _6 _# p. `& G- e3 Q
Permutation, 排列
6 W; d. Y! ^$ Q8 }P-estimator, P估计量
7 k+ s9 Q% U; j8 U, G/ s' |Pie graph, 饼图
+ A3 F# M: Z/ `# q' {Pitman estimator, 皮特曼估计量
4 m- Q2 l9 i5 z: f* E: K1 y+ \Pivot, 枢轴量
2 A  A  `, I- u( }7 B: oPlanar, 平坦$ F. p- C( e& V* D
Planar assumption, 平面的假设+ d5 l: N+ P. h# N2 C7 d- N
PLANCARDS, 生成试验的计划卡
1 j3 b* M# ~/ K% [, h; A2 @% A" B, CPoint estimation, 点估计
- Q3 B( M& D8 l( e) NPoisson distribution, 泊松分布, A* _5 G/ ]0 x) e+ s1 J# k" E
Polishing, 平滑
) b  Y+ @5 u4 J. z/ l* s& n$ E' JPolled standard deviation, 合并标准差
! I/ ?1 n; g9 c9 N5 W" C, QPolled variance, 合并方差+ Z9 `: N; i( h9 ]
Polygon, 多边图
% s1 k* a% q2 q3 i1 X0 zPolynomial, 多项式
7 K9 L' G4 N' l- _  T6 ePolynomial curve, 多项式曲线
5 T* |/ d% [8 {+ N7 x2 C) aPopulation, 总体
" u! L' d/ s2 q" _" W0 `& yPopulation attributable risk, 人群归因危险度
+ |: \- \7 ?6 A  R) ^' LPositive correlation, 正相关
( s) ^$ `  `2 M  ?$ F+ h& Z, @Positively skewed, 正偏2 ^. S8 R, Y% X2 v, Z* S9 b
Posterior distribution, 后验分布
1 F8 t# P. g: Z3 D2 ~. @Power of a test, 检验效能
1 |# t; e3 i( Y2 qPrecision, 精密度
3 d5 Y5 w2 g+ t9 O1 ^7 j# ?- CPredicted value, 预测值
0 w' K3 M) f/ P' o) p& F6 WPreliminary analysis, 预备性分析+ g' w+ T9 x+ Y9 r  A! o# J' g" Y7 l
Principal component analysis, 主成分分析
: u( K2 B. }, }0 \Prior distribution, 先验分布
4 M/ C4 p+ K8 e3 _: A5 `2 G5 IPrior probability, 先验概率
5 S1 J7 W3 i$ d, {" g) lProbabilistic model, 概率模型
9 l# G$ w( b% @' C9 Dprobability, 概率
% P8 l6 E2 g0 d& Y& q. UProbability density, 概率密度
9 s+ l$ W2 g+ X$ XProduct moment, 乘积矩/协方差
/ O9 y; E' q+ J( M! IProfile trace, 截面迹图7 k# S# J( [# @& ^9 \- V7 F
Proportion, 比/构成比  F, d! I. ]. a$ \1 Z, ?3 `3 i
Proportion allocation in stratified random sampling, 按比例分层随机抽样
" t! D4 r2 [, x+ S4 Y+ WProportionate, 成比例1 E0 h, p/ D/ T& g3 q, A
Proportionate sub-class numbers, 成比例次级组含量7 F8 Q6 _3 t( x% }6 \
Prospective study, 前瞻性调查* A- s; i# ~1 w- h) f
Proximities, 亲近性
3 q# H  n( [2 p6 D% g. bPseudo F test, 近似F检验9 k4 U7 j$ t8 x" Z) o% ?
Pseudo model, 近似模型& F7 \( u# k2 }2 J
Pseudosigma, 伪标准差
0 `( {$ l/ O; W; y5 @Purposive sampling, 有目的抽样
5 X% `& T! H0 ?3 g' y7 D: |QR decomposition, QR分解5 E. d2 B3 ?& p0 d
Quadratic approximation, 二次近似
' ^" R7 b$ \& \" l0 G2 d4 K' [Qualitative classification, 属性分类
9 g% h2 x& _7 S& D7 O4 ]+ [Qualitative method, 定性方法( ]& L+ W3 M0 H- [0 A
Quantile-quantile plot, 分位数-分位数图/Q-Q图( Z" C# G4 r: O
Quantitative analysis, 定量分析4 p1 H/ s( \3 a: o7 f1 f# _4 I
Quartile, 四分位数
- W' c$ i+ g. i. ^' P, _Quick Cluster, 快速聚类. K% v+ A% _. k
Radix sort, 基数排序" c$ K) Y1 O( g6 j
Random allocation, 随机化分组
, |; B$ V- o* v, HRandom blocks design, 随机区组设计! A" Z$ o8 O8 h" e( I
Random event, 随机事件
, N, z6 d  c2 D7 r2 ~Randomization, 随机化9 u3 l8 [+ i3 Q
Range, 极差/全距' ?/ l0 y. {  i  u$ E
Rank correlation, 等级相关' |- u& ^  b0 d
Rank sum test, 秩和检验4 D( b2 P2 M. z5 I7 W
Rank test, 秩检验
. x3 P+ S, E! F8 y0 l5 F: k$ ORanked data, 等级资料8 [+ L, Y# @9 ?) {
Rate, 比率
& t' U, t6 r% [# ?- ?Ratio, 比例( s0 M* y$ K/ c! z# v
Raw data, 原始资料- Y5 y5 r/ D9 e1 j) H) p! \
Raw residual, 原始残差5 q* L9 p. n1 r+ {& @, V; l) G
Rayleigh's test, 雷氏检验* W; v9 [' u% a: O3 d
Rayleigh's Z, 雷氏Z值
1 G7 Y* V3 ?* S9 Q, Q/ |. @6 M( KReciprocal, 倒数5 `( t! K0 g: M/ u2 G4 |  b9 {% ^" x3 d
Reciprocal transformation, 倒数变换
& V% s2 o+ Q. q$ L9 K# h% u) G4 ^Recording, 记录8 G" L7 ?* ~% K
Redescending estimators, 回降估计量
$ T3 M# z' P# P) bReducing dimensions, 降维! \7 d/ E) Z* p& e: ^
Re-expression, 重新表达# @/ t7 A7 m$ D) m) n1 s
Reference set, 标准组
9 _+ s0 P/ x4 y4 Q: @8 R% pRegion of acceptance, 接受域; J8 f$ C) a  r; d$ l8 g6 D( T
Regression coefficient, 回归系数
  x  }3 \9 W- n1 O* B$ K7 D/ _Regression sum of square, 回归平方和
4 s$ e! w! m' g, Q/ P  ]! N! CRejection point, 拒绝点: H' g/ N. L. S# _
Relative dispersion, 相对离散度
  ]' y! N" i5 W& O9 @1 }# uRelative number, 相对数" X2 W/ @3 x" ^. J! S
Reliability, 可靠性& j, T& N# R, X6 z: M/ \( X6 u
Reparametrization, 重新设置参数, V0 g/ N' n+ ]9 F, f5 T( A  \0 o; c6 C
Replication, 重复
! j) o5 ^. Z9 x/ f' Y/ o0 VReport Summaries, 报告摘要
  n2 [' J7 K5 Z$ w( f& M3 }Residual sum of square, 剩余平方和0 W/ [/ C- L$ N; e6 M% y
Resistance, 耐抗性4 f3 z" O3 c& N  \6 e9 V
Resistant line, 耐抗线
3 L7 F' [7 ~$ M! X5 O2 F6 HResistant technique, 耐抗技术' N; r  ?& [4 s9 F; r/ ^9 J* w3 s4 _
R-estimator of location, 位置R估计量" F" L: Z" Z# ?
R-estimator of scale, 尺度R估计量( z7 d9 ^7 D/ ^. C8 T$ Z! z
Retrospective study, 回顾性调查0 u" N; h  f, u9 Y5 G  F. z
Ridge trace, 岭迹
* t, X  J/ J5 H. U/ A7 e8 q8 MRidit analysis, Ridit分析
9 x5 |8 `& O* \1 O9 _Rotation, 旋转
/ K5 Y/ Z% ~8 zRounding, 舍入
) f$ [) q' T* v5 DRow, 行) z1 ?$ E8 U; W  J# C, b
Row effects, 行效应$ J* |; ?) p2 A( e" P, w( `, W/ ~
Row factor, 行因素4 ^' x1 Q! r1 A; w  b
RXC table, RXC表" S, d' k; C0 U; C, `8 [- k% w
Sample, 样本$ L% S7 m7 h& ~, y6 H* p
Sample regression coefficient, 样本回归系数
6 _/ x  ]+ ^& m9 HSample size, 样本量
9 C7 t4 R* o/ z1 P9 m* V1 O, Q" [Sample standard deviation, 样本标准差+ w5 T7 ?  a# Q1 P
Sampling error, 抽样误差
7 c4 w3 G6 a( _SAS(Statistical analysis system ), SAS统计软件包) m8 |4 i# j/ {7 }, w# N8 j
Scale, 尺度/量表
7 F( |  a" Q& L; E2 {6 r1 l5 [Scatter diagram, 散点图6 P3 H# X! h! f. G' A
Schematic plot, 示意图/简图% }! \! i. }  R% c
Score test, 计分检验+ d/ ?) d- `! M' w% c
Screening, 筛检7 Y: E% d5 O+ \
SEASON, 季节分析
0 k- r+ d/ r3 l' OSecond derivative, 二阶导数
- w" L& q3 }8 ^5 L& Y0 nSecond principal component, 第二主成分1 Z0 u9 [. j5 Q8 E! y1 X1 ~
SEM (Structural equation modeling), 结构化方程模型 5 y( g. C. o- s, V* c' T; s
Semi-logarithmic graph, 半对数图
3 O  X4 _' B- C* ?2 e& sSemi-logarithmic paper, 半对数格纸; ~4 j2 G! z& I- v# W6 E# k- w' ~
Sensitivity curve, 敏感度曲线
0 K" j$ x6 X9 E( v% Z% \5 ], Q2 HSequential analysis, 贯序分析
' P; ?& b. k3 d0 @/ q3 z; g8 N3 {* RSequential data set, 顺序数据集  s( f% Q  i- q$ `' E! M: I9 k
Sequential design, 贯序设计" X! y$ b* ^+ r" w, j; ]$ W4 [
Sequential method, 贯序法  h0 N6 j8 w" l2 L* S3 e5 F& B
Sequential test, 贯序检验法' _/ j$ E( E, T2 H8 ]- W
Serial tests, 系列试验
/ u: X3 o2 F3 |+ p: M6 V% V+ `% EShort-cut method, 简捷法
8 _* J# w/ _5 T6 j7 [Sigmoid curve, S形曲线
4 S/ U* m- _8 f1 P5 pSign function, 正负号函数
& v$ Q+ C$ x# a0 c9 W8 DSign test, 符号检验7 A. v. ~; Z7 ]' `
Signed rank, 符号秩! d) t! J/ j. p, C& K+ C# I
Significance test, 显著性检验0 p4 b( _$ h/ I& h% `
Significant figure, 有效数字
9 {0 [2 Z" Q: t1 g* K7 vSimple cluster sampling, 简单整群抽样* u1 n- z* }* R9 o) n& |8 @0 V
Simple correlation, 简单相关0 Q9 C/ E7 }4 n0 k; z2 _1 {2 v7 Q
Simple random sampling, 简单随机抽样. Y* ]$ _1 P8 L& z  k1 _( R
Simple regression, 简单回归
9 o4 d9 w3 I4 l$ r0 I9 o) u# I0 ~4 ]7 c6 @) Isimple table, 简单表( G: l& g7 A4 h; g( ]/ e
Sine estimator, 正弦估计量+ U: G7 o" ^2 g
Single-valued estimate, 单值估计# m: M' E; e* b+ W1 C
Singular matrix, 奇异矩阵
& Q" p; v3 M7 d: a" b8 ESkewed distribution, 偏斜分布3 L' f7 s6 ^) ~8 K. m
Skewness, 偏度
- \# u$ t9 q6 U0 x! Q7 OSlash distribution, 斜线分布0 V# _0 e: N% b. x! N% k; |
Slope, 斜率- Q! |  x4 b/ K9 [  u
Smirnov test, 斯米尔诺夫检验
) }0 b+ a/ I9 F9 ?, @Source of variation, 变异来源( V# {5 q. ^! o
Spearman rank correlation, 斯皮尔曼等级相关
/ \( B5 X# }& x1 [$ OSpecific factor, 特殊因子
" c" i6 N5 p& s) C4 T& QSpecific factor variance, 特殊因子方差. B1 B, \% a0 r2 \' \7 o5 p, S
Spectra , 频谱
  [0 G$ ^( T2 hSpherical distribution, 球型正态分布
, M; j) ]% X% hSpread, 展布5 M& L) `( D$ z0 c* B+ H) G" d1 c
SPSS(Statistical package for the social science), SPSS统计软件包
6 |$ K; k! V; G5 l6 ]& NSpurious correlation, 假性相关' `( M8 u6 t% c" P# n
Square root transformation, 平方根变换
# I% A4 [3 G+ w8 |7 i3 x, o+ `Stabilizing variance, 稳定方差/ r. x7 i4 m1 b6 [$ T, E0 F- {/ @4 i6 Z
Standard deviation, 标准差
- h# |2 N( o* p7 X, Q" `3 z: j  {Standard error, 标准误
( n& k1 ]! [9 L( {- K! JStandard error of difference, 差别的标准误
5 s. H9 @5 H0 a" h8 A; ?7 V9 kStandard error of estimate, 标准估计误差
" R2 j6 @6 X% OStandard error of rate, 率的标准误" C0 D  A! L3 j# _, \
Standard normal distribution, 标准正态分布
4 M6 G9 R) ]- x6 rStandardization, 标准化
; c' I, i; n$ L" e" Z0 ]* J6 m/ |* PStarting value, 起始值$ J/ F' @4 |6 H' e) t& S
Statistic, 统计量8 C5 T* r* Y: H0 ^3 t" g0 a
Statistical control, 统计控制9 `8 i/ D& [  X$ R
Statistical graph, 统计图1 G: |; k, z" l* N8 w7 p6 H
Statistical inference, 统计推断8 \9 Q; B. a: ]8 i+ r% B) H" D
Statistical table, 统计表5 k* A" |3 s2 L. I; V% a
Steepest descent, 最速下降法
& I. y/ ?6 j# @Stem and leaf display, 茎叶图
* l4 e6 \% v8 e# M0 aStep factor, 步长因子
% g# ]; c: g( l% c- T: Q) ?, l; uStepwise regression, 逐步回归
" @/ n# _6 ?) Y6 `Storage, 存
+ s9 n) b0 h+ {' s/ j7 VStrata, 层(复数): G- N( p% E$ n; j, F
Stratified sampling, 分层抽样2 L. g7 d& x. _* z6 Y
Stratified sampling, 分层抽样# Q# C' L9 f# ]' ?8 |0 L, `, X
Strength, 强度
' E, \* X% x1 m9 UStringency, 严密性
" _- R* }8 w' H1 BStructural relationship, 结构关系
% B: E1 |: [1 WStudentized residual, 学生化残差/t化残差8 G8 m" K8 }5 v. i! k
Sub-class numbers, 次级组含量
  X9 t* t+ Q$ j$ @Subdividing, 分割
" g9 S& T" k; L4 g; w: @; v. H4 fSufficient statistic, 充分统计量, h" T1 p$ n% C( A$ l, J0 e0 e
Sum of products, 积和
. N1 I2 T: z' [: W  L& kSum of squares, 离差平方和
) O8 M6 K4 l, \* e. N, sSum of squares about regression, 回归平方和
/ t$ y6 b+ s0 L1 D! rSum of squares between groups, 组间平方和9 R5 `' R$ `$ h0 M& q  S! Z
Sum of squares of partial regression, 偏回归平方和
! L, g, s1 o, b- m3 JSure event, 必然事件
& O' b/ A, G; lSurvey, 调查
* V% v4 I# M2 h. sSurvival, 生存分析2 e1 e7 I3 r( x5 S
Survival rate, 生存率
: m" b: j+ {9 b8 y8 N: g: FSuspended root gram, 悬吊根图5 X2 E- ]6 A# w
Symmetry, 对称) z* }) D' l! r/ i0 j
Systematic error, 系统误差; z! w: T" ^* R
Systematic sampling, 系统抽样0 G  ^' M$ B; Y" B
Tags, 标签
; f( H- [8 v( W% T: @Tail area, 尾部面积
/ L; e" t' y% N: |' o" ]# Y" H$ tTail length, 尾长
7 C% b) a  R$ U, LTail weight, 尾重8 S# s/ [5 r9 R
Tangent line, 切线
  }1 t$ _+ Z1 f0 gTarget distribution, 目标分布
% q  Z9 t3 c0 p- c* m" {" ~Taylor series, 泰勒级数1 _- f! R4 Z1 s+ K  E% U
Tendency of dispersion, 离散趋势
! W; Y4 _. A$ Z5 X; C( i3 NTesting of hypotheses, 假设检验; c/ j5 M( {! j5 H/ I
Theoretical frequency, 理论频数
2 M5 q( ]1 l: s1 ?/ @Time series, 时间序列* P7 j; f5 }5 ]- d' b" m# Y$ t
Tolerance interval, 容忍区间/ {+ g9 q& b- @4 v4 {$ [) i# r
Tolerance lower limit, 容忍下限( r/ {" R& ~8 ?/ F& D
Tolerance upper limit, 容忍上限
% H5 F/ J7 l, q0 y( }Torsion, 扰率9 L. _2 V+ [# w0 E/ p
Total sum of square, 总平方和" V# w6 }) P- P9 z9 V
Total variation, 总变异6 D2 T. A9 ^8 ^1 ~5 l% t$ e, [+ J
Transformation, 转换
, d# k, `% c7 l0 o: Z) B+ b* x; VTreatment, 处理* P0 {  L+ D" n: |. ?; D! \
Trend, 趋势
: I9 q% j& d. l9 Y! oTrend of percentage, 百分比趋势
0 _. M8 x6 A5 \% i5 tTrial, 试验
" C: t7 T9 l- X3 C$ S/ W3 n# G5 NTrial and error method, 试错法. s- F. O' f( w3 I- R/ m; e
Tuning constant, 细调常数5 m' ?/ K) _2 f9 Z3 m2 Q! v
Two sided test, 双向检验( V1 K9 o: h% C9 Z( x
Two-stage least squares, 二阶最小平方
0 A* m/ @3 p4 O; X( c# YTwo-stage sampling, 二阶段抽样
  F. F/ K/ q( j: f& j3 `- RTwo-tailed test, 双侧检验$ b5 g; h1 h& y% z+ Y
Two-way analysis of variance, 双因素方差分析- Z& k" T/ c+ k
Two-way table, 双向表  W9 I$ \- s5 s! `+ F
Type I error, 一类错误/α错误* a+ U2 s" m: L
Type II error, 二类错误/β错误
2 D+ b( D, k! D0 t3 a1 EUMVU, 方差一致最小无偏估计简称
6 E+ f( K- I8 S1 k1 pUnbiased estimate, 无偏估计
1 `- M4 I; m& kUnconstrained nonlinear regression , 无约束非线性回归& Z5 P4 x& l/ l8 D& V
Unequal subclass number, 不等次级组含量
2 e: A+ n% h6 q) ^% XUngrouped data, 不分组资料
$ p: |/ u* F6 X; O# eUniform coordinate, 均匀坐标9 }3 ^9 h2 w$ c/ h- h: v/ Z4 w3 Q
Uniform distribution, 均匀分布" x/ ~6 T- m- E% `
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计9 j, n" Q% r( h2 x# Z
Unit, 单元
/ \* b# E' d9 _7 n0 j3 [+ |, {Unordered categories, 无序分类" w% v5 ]; Q! T" j% Q$ v/ ]3 r
Upper limit, 上限# O2 j3 X8 h9 b3 w/ ^7 }
Upward rank, 升秩
2 [9 p3 C6 g% [0 _$ i0 DVague concept, 模糊概念0 Y- N0 G# ~# N+ l$ A
Validity, 有效性6 ?" B$ \5 o( n. A) g
VARCOMP (Variance component estimation), 方差元素估计0 G# G; ?2 Z* [, q7 i( m
Variability, 变异性
1 {9 `$ J+ U: P2 u, \" ~' h- MVariable, 变量
) m6 |- j/ y4 Q# x2 ?& B8 n  tVariance, 方差
) l/ N* Q5 ^% U1 B$ y- ]: yVariation, 变异
. i; \& i7 k! T; o! \5 R4 IVarimax orthogonal rotation, 方差最大正交旋转
# X. \+ v1 q6 S: b6 `( r( GVolume of distribution, 容积
  S2 L7 d0 X9 |# l5 A' Y4 iW test, W检验
8 u# a( F6 p7 q$ WWeibull distribution, 威布尔分布5 o8 w: e# f1 z0 [
Weight, 权数! c) r" j* d/ {
Weighted Chi-square test, 加权卡方检验/Cochran检验
: d0 Z/ F6 d, p( _# OWeighted linear regression method, 加权直线回归. I) W; P& ]5 a7 N9 E5 H
Weighted mean, 加权平均数; n/ R1 j+ E/ }) F9 c
Weighted mean square, 加权平均方差
) t7 _; l+ R( d8 I" k; v$ VWeighted sum of square, 加权平方和7 \% i# M* K' h: I# N  A" P8 y
Weighting coefficient, 权重系数- A1 q, C  f2 t2 R' r) P) a
Weighting method, 加权法
0 Q5 i' H! _3 R) S: gW-estimation, W估计量- q2 P: N0 X9 A# @3 I
W-estimation of location, 位置W估计量
+ v+ I2 ^+ o- z& A1 ]# DWidth, 宽度: R3 }' p: ^* s) Z! z! f6 K* s" y
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验' @# w9 f& `# Y, e5 x4 ~/ i3 ]
Wild point, 野点/狂点
2 a1 O1 h; r# q1 O2 IWild value, 野值/狂值
: l9 @4 @8 P( Q& u5 vWinsorized mean, 缩尾均值# n, E6 a' N* n0 I
Withdraw, 失访
1 A6 S' c+ ?" a9 O  @% B( S, ~Youden's index, 尤登指数/ i! |* n% H& Z
Z test, Z检验6 `. J5 Q) U! B  m
Zero correlation, 零相关
- M* P8 p8 n8 J+ l6 a, QZ-transformation, Z变换

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